Endpoint Digital Twin Virtualization for Testing
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Solution Overview
Problem
Current endpoint management technologies, such as unified endpoint management (UEM), face challenges in providing accurate representations of endpoints for testing and simulation, leading to unreliable and slow testing processes, as well as difficulties in predicting network changes due to manual simulations and reliance on base system images that do not reflect actual endpoint variations.
Innovation Solution
The creation and management of digital twins of endpoints, which are high-fidelity virtual representations that allow for on-demand replication and simulation of endpoints, enabling IT administrators to test changes and simulate network modifications in an automated and accurate manner without manual reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual simulations and base system images are used for endpoint testing, then testing can be performed, but the accuracy and reliability of endpoint representations deteriorate
Solution Approach 1:
The patent creates virtual copies (digital twins) of physical endpoints that replicate their configuration, state, and behavior. These virtual representations are updated in real-time to mirror the actual endpoints, enabling accurate testing and simulation without compromising the original devices. This copying approach resolves the contradiction by providing both reliable testing capability and accurate endpoint representation.
Solution Approach 2:
The system performs preliminary actions by creating and maintaining virtual representations of endpoints before actual testing or deployment changes. These pre-configured virtual models allow administrators to test scenarios, validate configurations, and predict outcomes before applying changes to real endpoints, thereby improving both testing reliability and representation accuracy.
2Productivity
If manual simulations are used to predict network changes, then network modification testing can be performed, but the speed and efficiency of the process deteriorate
Solution Approach 1:
The patent replaces manual simulation processes with automated virtualization technology. Instead of manually configuring and testing network changes on physical devices, the system uses virtual representations that can be rapidly configured, modified, and tested through software automation. This substitution dramatically increases testing speed while reducing the time lost to manual operations.
Solution Approach 2:
By creating virtual copies of endpoints and network configurations, the system enables rapid iteration and testing without the time-consuming process of manually setting up physical test environments. These copies can be instantly created, modified, and destroyed, allowing for high-speed testing and validation of network changes.
3Adaptability or versatility
If base system images are used for endpoint representation, then a standardized testing platform can be provided, but the ability to reflect actual endpoint variations deteriorates
Solution Approach 1:
The patent applies local quality by allowing each virtual representation to have its own unique configuration, state, and properties that match the specific physical endpoint it represents. Instead of using a single standardized image for all endpoints, the system creates customized virtual models that capture the specific characteristics, software versions, hardware configurations, and operational states of individual endpoints or groups, thereby reflecting actual variations while maintaining ease of management through virtualization.
Data Source
AI summary
Techniques for construction and management of virtual representations (e.g., digital twins) of endpoints in a computing environment. For example, a method comprises generating one or more virtual representations of one or more endpoints in a computing environment. The method further comprises managing the one or more endpoints in the computing environment via the one or more virtual representations.